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RL Environments and RL for Science: Data Foundries and Multi-Agent Architectures

Reinforcement Learning: Learning by Doing

What does OSWorld tell us about AI’s ability to use computers?

Research Engineer, Benchmarks

HUD is building infrastructure to create RL training data and evaluations for frontier AI agents. The Research Engineer will be responsible for designing and implementing benchmarks that evaluate agents on domain-specific tasks, ensuring they are technically rigorous and practically useful.

Research Engineer, QC Automation

HUD is building infrastructure to create RL training data and evals for frontier AI agents. They are seeking Research Engineers to automate quality control for training data, focusing on building systems that scale quality to meet strong demand.

Applied Research Engineer

HUD is building infrastructure for RL training data and evaluations for AI agents. They are seeking an Applied Research Engineer to lead technical deployments, troubleshoot issues, and develop solutions for data buyers and sellers.

Research Engineer, Synthetic Data

HUD is building infrastructure to create RL training data and evals for frontier AI agents. They are seeking Research Engineers to build their synthetic data pipeline, focusing on creating realistic training tasks for AI agents.

Head of Growth

HUD is building infrastructure to create RL training data and evals for frontier AI agents. They are seeking a Head of Growth to connect with potential candidates and key figures in the AI ecosystem, while also helping to define company culture and values.

Growth Lead

HUD is building infrastructure to create RL training data and evals for frontier AI agents. They are seeking a Head of Growth to connect with candidates and key figures in the AI ecosystem, helping to evangelize their vision and manage recruiting efforts.

Research Engineer

HUD is building infrastructure for RL training data and evaluations for frontier AI agents. They are seeking research engineers to develop quality assurance systems for training data generated by companies using their infrastructure.

HUD is building infrastructure to create RL training data and evals for frontier AI agents, and they are seeking research engineers to help build out QA for training data created by companies using HUD’s infrastructure. The role involves defining quality standards, building tooling for dataset audits, and partnering with data vendors to improve data generation processes.

Marketing & Events Lead

HUD is building infrastructure to create RL training data and evals for frontier AI agents. They are seeking a Marketing & Events Lead to own and execute the marketing strategy, manage social media presence, and plan events that reinforce the brand.

HUD is building infrastructure to create RL training data and evals for frontier AI agents. They are seeking a Marketing & Events Lead to execute the overall marketing strategy, develop narratives for a technical audience, and plan memorable events that reinforce the brand.